Dynamism and realignment in the HR architecture: Online labor platform ecosystems and the key role of contractors

Given the widespread contribution of independent contractors to organizational innovation and competitive advantage, it is timely to reassess assumptions about the HRM practices appropriate to their management and the rationale for organizations to work with them. In the original and highly influential HR architecture model of Lepak and Snell (1999), contractor status is viewed as an outcome of the low value and/or low uniqueness of human capital resulting in the proposition to externalize and manage them using either none or minimal compliance-based HRM practices. Developments in digital technologies and algorithmic management epitomized by online labor platforms prompt us to reconsider these assumptions and to challenge the proposed links between value/uniqueness of human capital, employment mode and HRM practices that are assumed by the HR architecture model. Using insights from online labor platforms, we argue that the significant benefits to firms of working with contractors, coupled with the possibilities offered by algorithmic management to efficiently monitor and regulate their behavior, provide a compelling reason for organizations to choose external employment modes even when workers are key to value creation. We challenge the alignment and stability of the relationships proposed by the HR architecture model, and offer propositions to extend the model by reconsidering the rationale for, and nature of, HRM practices associated with contractors. This reassessment is both timely and relevant given the growing prominence of business models where externalizing workers is central alongside the development of new forms of algorithmic human resource management to control them.     

Towards a real-time prediction of waiting times in emergency departments: A comparative analysis of machine learning techniques

Emergency Departments (EDs) can better manage activities and resources and anticipate overcrowding through accurate estimations of waiting times. However, the complex nature of EDs imposes a challenge on waiting time prediction. In this paper, we test various machine learning techniques, using predictive analytics, applied to two large datasets from real EDs. We evaluate the predictive ability of Lasso, Random Forest, Support Vector Regression, Artificial Neural Network, and the Ensemble Method, using different error metrics and computational times. To improve the prediction accuracy, new queue-based variables, that capture the current state of the ED, are defined as additional predictors. The results show that the Ensemble Method is the most effective at predicting waiting times. In terms of both accuracy and computational efficiency, Random Forest is a reasonable trade-off. The results have significant practical implications for EDs and hospitals, suggesting that a real-time performance monitoring system that supports operational decision-making is possible.     

Information provision and consumer search behavior for products with asymmetric uncertainty

When selling multiple products with asymmetric uncertainty, should the seller disclose product information so that customers do not have to incur any cost to resolve their uncertainties; if so, which product should the seller choose? To address these questions, we consider a monopolist selling two substitutable products to a group of consumers. Each consumer has asymmetric uncertainty regarding the two products. A total of four different information provision structures are considered based on whether the seller discloses information about each product with the aim of determining which strategy provides the seller with the greatest revenue. We derive several interesting results. First, the optimal information provision strategy depends on the magnitude of uncertainty in relation to the product with lower uncertainty. Specifically, if the uncertainty regarding the product with lower uncertainty is sufficiently small, it is optimal for the seller to provide information about the product with higher uncertainty, otherwise, the seller should provide information about both products. Second, when only one product's information should be revealed, it is optimal for the seller to choose the product with higher uncertainty and charge a higher price. Third, withholding information on both products is never optimal for the seller. Finally, our main model is extended by examining the Mean-Preserving Spread setting, and the robustness of our main results is confirmed. Furthermore, we examine the situation in which a monopolist sells a single product with two main attributes. We find that each of the four information provision strategies can be optimal under various scenarios.     

构建基于和谐劳动关系的我国人力资源管理新体系

和谐劳动关系作为社会关系和企业内部最基础、最广泛、最重要的关系,对社会和企业的和谐发展起着至关重要的作用。本文从转型时期我国劳动关系的特殊性角度出发,探讨了我国人力资源管理学科发展的特殊历程,依据和谐社会的必然要求和企业管理的目的与宗旨,提出了构建基于和谐劳动关系的我国人力资源管理新体系的总体思路,以期对我国人力资源管理的巨大发展有促进作用。     

房产价格持续攀升的原因和价格监督机制的构建

本文对我国近十年来房产价格的总体水平呈现出持续攀升的原因和房产价格监督管理立法的现状进行了全面、深入地分析．指出了我国房产价格监督管理实践存在的问题,提出了通过构楚房产市场竞争机制和房产价格宏观调控机制来完善我国房产价格监督管理机制的构想。     

创新型建筑企业人力资源管理研究

创新需要人力资源的支持。建筑企业四种基本创新活动对人力资源的要求不一样,建筑企业应评析其经济性,选择适宜的创新活动,满足各种创新活动对人力资源的特殊要求,创新人力资源的管理理念、管理体系、培训体系、激励约束机制,提供有利的条件,使创新顺利进行。     

快速工业化地区中心镇的土地经营

在快速工业化地区的城镇发展过程中,尤其是经济较发达的中心镇,面临着城镇建设用地迅猛扩张和土地资源有限的重重矛盾。把土地作为资产来经营是中国土地供给制度改革的核心,也是其改革取得成功的关键。为了有效合理地配置快速工业化地区中心镇土地资源,提高土地利用率,在快速工业化地区的中心镇实行土地经营既有可能也有必要。并对中心镇实行土地经营的思路进行探索,包括实行土地经营原则、内容、模式及不同类型的城镇建设用地的经营策略。     

城市经营中的筹资问题:思路与建议

城市快速发展需要大量资金,传统的筹资方式已经不能适应发展的实际情况,本文着重介绍了在城市经营中,利用经营城市土地,推进基础设施市场化,以及在资本市场上通过外资来筹集资金的思路、方法,并且分析了筹资中出现的常见问题,提出了城市经营中筹资问题的具体建议。     

Innovative practices in public procurement partnerships: The case of the United States

Public procurement partnerships represent a new approach to conducting government acquisition. These partnerships are predicated on the notion that governments today simply lack the requisite knowledge, skills and financing to provide core public services and acquire sophisticated services, IT and knowledge development by themselves. Instead, governments need to enlist the collective energies of the governmental, business and non-profit (third) sectors. This research looks at the concept of public procurement partnerships in the United States and the major trends promoting their use. Two case examples of public procurement partnerships are presented; one from the perspective of a government partner, the other from the perspective of a private (third) sector partner.